Evidence map›Paper›PMID 35379778›Full record

ArticleTranslational psychiatry2022

Internet addiction and its association with quality of life in patients with major depressive disorder: a network perspective.

Wei Bai, Hong Cai, Siqi Wu, Ling Zhang, Ke-Xin Feng, Yu-Chen Li, Huan-Zhong Liu, Xiangdong Du, Zhen-Tao Zeng, Chang-Mou Lu and 8 more

Registry-linked trialOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06419478 (Exploring Early Postoperative Core Symptoms in Chinese Patients With Primary Liver Cancer), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06419478 terminatednot on this map

Exploring Early Postoperative Core Symptoms in Chinese Patients With Primary Liver Cancer: a Cross-sectional and Longitudinal Network Analysis

TypeobservationalSponsorMengmeng YuanRan2021 to 2022Enrolled249ConditionsPatients With Primary Liver Cancer (PLC) Undergoing Curative Surgical Procedures, Importance of Identifying Core Symptoms for Improving Symptom Management in PLC Patients, Application of Network Analysis as a Crucial Component of Cancer CareArmspostoperative symptoms
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. The Worldwide Prevalence of Internet Addiction among Medical Students: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2024
    Pooled it
  2. Article
  3. Article
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  6. [Relationship between adolescent internet addiction and depressive symptoms: A longitudinal study based on a cross-lagged panel network models].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  7. Article
  8. Article
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  10. Exploring early postoperative core symptoms in Chinese patients with primary liver cancer: a cross-sectional and longitudinal network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  11. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 10 institutions in 3 countries.

Wei Bai *Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.ORCID http://orcid.org/0000-0001-9579-9959
Hong Cai *Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.ORCID http://orcid.org/0000-0002-7915-1092
Siqi Wu *School of Psychology and Mental Health, North China University of Science and Technology, Tangshan, Hebei Province, China.
Ling Zhang *Nanning Fifth People's Hospital, Nanning, Guangxi Province, China.
Ke-Xin Feng *School of Public Health, Lanzhou University, Lanzhou, Gansu Province, China.
Yu-Chen Li *Department of Psychiatry, Xiamen Xianyue Hospital, Xiamen, China.
Huan-Zhong Liu *Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China.
Xiangdong DuGuangji Hospital Affiliated to Soochow University, Suzhou, Jiangsu Province, China.
Zhen-Tao ZengNanning Fifth People's Hospital, Nanning, Guangxi Province, China.
Chang-Mou LuNanning Fifth People's Hospital, Nanning, Guangxi Province, China.
Wen-Fang MiDepartment of Psychiatry, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
Lan ZhangDepartment of Psychiatry, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
Yan-Hong DingDepartment of Psychiatry, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
Juan-Juan YangDepartment of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China.
Todd JacksonDepartment of Psychology, University of Macau, Macao SAR, China.
Teris CheungSchool of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China.
Feng-Rong AnThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China. afrylm@sina.com.
Yu-Tao XiangUnit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.ORCID http://orcid.org/0000-0002-2906-0029
Lanzhou University Second Hospital · CNUniversity of Macau · MOAnhui Medical University · CNThe Second Nanning People's Hospital · CNCapital Medical University · CNHong Kong Polytechnic University · HKLanzhou University · CNNorth China University of Science and Technology · CNSoochow University · CNTianjin haihe hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depressive disorders and internet addiction (IA) are often comorbid. The aims of this study were to examine the network structure of IA in patients with major depressive disorders (MDD) and explore the association between IA and quality of life (QoL) in this population. This was a multicenter, cross-sectional survey. IA and QoL were assessed with the Internet Addiction Test (IAT) and the World Health Organization Quality of Life-brief version, respectively. Node expected influence (EI) was used to identify central symptoms in the network model, while the flow network of QoL was generated to examine its association with IA. A total of 1,657 patients with MDD was included. "Preoccupation with the Internet," "Job performance or productivity suffer because of the Internet," and "Neglect chores to spend more time online" were central symptoms. The symptom "Form new relationships with online users" had the strongest direct positive relation with QoL, while "Spend more time online over going out with others" and "Job performance or productivity suffer because of the Internet" had the strongest direct negative relations with QoL. Neglecting work caused by IA correlated with QoL, while making friends online appropriately was related to better QoL among MDD patients. Appropriate interventions targeting the central symptoms may potentially prevent or reduce the risk of IA in MDD patients.

Indexed as

Major Depressive DisorderQuality of LifeComorbidityCross-Sectional StudiesHumansInternet Addiction Disorder

Identifiers

PMID35379778
PMCPMC8977829
OpenAlexW4225338652

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.